Data · dataset · 2026
Microscopic Image Dataset for CAT6 Cable Outer-Sheath Surface Condition Classification
Listed in Teesside University Research Data Repository
This dataset contains 2,400 original microscopic images acquired from the outer sheath of an approximately 10-m-long CAT6 Ethernet cable under controlled laboratory conditions.
Description
The cable had been in use for an extended period and exhibited different surface conditions along its length. Images were captured using a USB digital microscope with a 1920 × 1080 pixel image sensor under consistent illumination, working distance, and viewing conditions.
The dataset is organized into three balanced surface-condition classes: Intact, Bending_Damage, and Severe_Damage, with 800 images in each class. Intact images show no visible surface damage; Bending_Damage images exhibit localized texture distortion or surface waviness without visible material rupture; and Severe_Damage images contain visible cracks, material rupture, or deep surface discontinuities. All 2,400 images are original microscope acquisitions.
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No images were generated through data augmentation, extracted from video frames, or produced by cropping larger source images. The images were acquired across multiple physical regions of the same cable; however, physical region identifiers were not recorded during acquisition. The dataset is intended as a task-specific resource for supervised microscopic classification of CAT6 cable outer-sheath surface conditions and for comparative evaluation of image-classification methods under controlled acquisition conditions.
Because the dataset originates from a single cable specimen, it should not be interpreted as representing cross-cable or real-world generalization. Future extensions may incorporate multiple cable specimens, materials, manufacturers, acquisition conditions, and region-level metadata. The original 2,400 images are provided in the Raw_Dataset.zip archive, organized into three class-specific folders: Intact, Bending_Damage, and Severe_Damage.
Citation
If you use this dataset in your research, please cite the associated research article. The full citation and DOI of the article will be added to this dataset record upon publication.
Links
Where it is published
- DOI doi.org/10.17632/zs55dv63kv.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zs55dv63kv.1 | 6 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |